Open Source Initiative releases first Open Source AI Definition

The Open Source Initiative (OSI) has released version 1.0 of its Open Source AI Definition (OSAID), establishing the first industry standard for determining whether an AI system can be considered truly open source. Developed through years of collaboration with academia and industry, the OSAID requires open source AI to provide sufficient information to substantially recreate …

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Meta releases AI models for mobile devices

Meta Platforms has released quantized versions of its Llama 3.2 1B and 3B models, which the company says offer reduced memory requirements, faster on-device inference, accuracy, and portability. The models were developed in close collaboration with Qualcomm and MediaTek and are available on SoCs with Arm CPUs. According to Meta, the average model size has …

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Open Source ahead in Enterprise AI

Open source AI models are increasingly winning out over closed systems like GPT-4 in the enterprise. This is what Matt Marshall reports for VentureBeat after numerous conversations with executives. The open models, such as Metas Llama, have now reached comparable quality and offer enterprises more control, customization, and cost efficiency. Major technology vendors such as …

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Genmo Mochi 1 is a new open-source video AI

Genmo has launched Mochi 1, an open-source AI model for generating high-quality videos from text prompts. You can try it for free on this page. According to VentureBeat, Genmo is claiming performance that rivals leading proprietary models like Runway’s Gen-3 Alpha and Luma AI’s Dream Machine. Available under the Apache 2.0 license, Mochi 1 allows …

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ComfyUI V1: Create AI images directly on your own computer

The AI image generation software ComfyUI has been released in version 1.0 and now offers a desktop version for Windows, MacOS and Linux. Background: ComfyUI allows you to implement complex image generation pipelines directly on your own computer. Unlike cloud-based solutions, the software provides full control over the process and your own data. The brand …

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IBM launches Granite 3.0 models for enterprise

IBM has launched its Granite 3.0 large language models (LLMs), expanding its enterprise AI offerings, Sean Michael Kerner reports for VentureBeat. The new open-source models, available under the Apache 2.0 license, are designed for various enterprise applications, including customer service, IT automation, and cybersecurity. IBM claims the models outperform competitors like Google and Anthropic, having …

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Nvidia releases powerful and open AI model

Nvidia has introduced a new AI model, Llama-3.1-Nemotron-70B-Instruct, which outperforms existing models from OpenAI and others, continuing a significant shift in its AI strategy. The model, available on Hugging Face, achieved impressive benchmark scores, positioning Nvidia as a competitive player in AI language understanding and generation. This development showcases Nvidia’s transition from a GPU manufacturer …

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Is Meta diluting the term Open Source?

Meta is facing criticism for labeling its AI models as “open source.” Stefano Maffulli, head of the Open Source Initiative, accuses the company of diluting the term and confusing users. According to Maffulli, Meta’s Llama models do not meet the criteria for true open-source software, Richard Waters reports for the Financial Times. Meta defends its …

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Endor Labs scores open source AI models

Endor Labs has launched a new platform to score over 900,000 open-source AI models available on Hugging Face, focusing on security, activity, quality, and popularity. This initiative aims to address concerns regarding the trustworthiness and security of AI models, which often have complex dependencies and vulnerabilities, reports VentureBeat. Developers can query the platform about model …

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Zamba2-7B is especially efficient

Zyphra has released Zamba2-7B, a new small language model supposedly outperforming competitors like Mistral, Google’s Gemma, and Meta’s Llama3 in quality and performance. According to the Zyphra team, Zamba2-7B is ideal for consumer devices, GPUs, and enterprise applications. It boasts 25% faster time to first token, 20% more tokens per second, and reduced memory usage …

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